Trying to determine if Tensorflow can be used in this case.

Here is my use case. I have a image set of a full 360 walk around of a vehicle. I want to be able to classify which images are of the front, rear, passenger side, and driver side of the vehicle. I can train a model with hundreds of these image sets, all of different vehicles, each with around 100 frames per set.

I’m wondering if Tensorflow would be effective in classifying images into those four categories. I understand it would probably be good at classifying types of vehicles. I’m just uncertain if it would be good at this classification which is essentially a rotation of the various vehicles.